Machine learning Job Cost Overview
Typical total cost of oDesk Machine learning projects based on completed and fixed-price jobs.
oDesk Machine learning Jobs Completed Quarterly
On average, 14 Machine learning projects are completed every quarter on oDesk.
Time to Complete oDesk Machine learning Jobs
Time needed to complete a Machine learning project on oDesk.
Average Machine learning Freelancer Feedback Score
Machine learning oDesk freelancers typically receive a client rating of 4.74.
I graduated from the University of Havana and worked in several fields of the Computer Science, mainly related to Artificial Intelligence. Then I came to Germany and completed a master degree on Computational Logic in 2014. I have published articles about Genetic Algorithms and Classification Techniques in machine learning applied to other fields like Electrical Engineering and Propositional Logic. I look forward to applying more Artificial Intelligence techniques to to solve interesting problems in other fields.
I'm a software engineer and a computer scientist with over 15+ years of experience in C++, Java, AI, computer graphics and image processing.Over the course of my career I have successfully created and delivered high end software for the desktop, web and mobile platforms. I hold a Masters degree in Computer and Data Security and two Bsc. degrees in computer science and electronic engineering and have taught computer science for over 4 years to undergraduate students.
To contribute with my efforts and skills to the research and developement in the field of image/signal processing, machine learning and embedded digital design. I am working in such environment which gives me opportunities to learn, innovate and evolve into a successful and responsible professional. I have 9 years of relevent education and 4 years of working experience in the area of Image Processing, Statistical Learning, Digital System Design and now doing PhD in the same field.
Juan luis H. Agency Contractor
Have some question that requires a statistical or machine learning answer? No problem. As a data scientist with 15 years of experience, I have the technical knowledge and the communication skills needed to solve your problem and, most important, give an answer that you can apply to your field of interest. What I offer to you is a full data analysis/machine learning stack, including: - Getting and organizing your data. - Selecting the most relevant statistical or machine learning technique for your case. - Applying the technique to your data. - Writing a report that explains every step taken and makes a interpretation of the results. All written with enough technical detail, but that doesn't require a depth statistical knowledge to follow. - Assistance in applying the results to your specific field. I can do all this using any or several of the following: R, MATLAB, Python, MySQL. Everybody can apply an out of the shell statistical algorithm to some benchmark data. But I'm an expert in the tricks needed to apply those algorithms to real data.
Master degree in information/software engineer (110/100 cum laude) (Master project developed at The Burnham Institute, San Diego, CA) Ph.D. in medical image analysis (cum laude) (Leiden University Medical Center) Post-doc personal grant winner (300,000 euros) for a three year research project (young product manager) in neuroimaging analysis Senior post-doc in bioinformatics Head of bioinformatics and data analysis unit Software Engineer Java EE Career goal: further develop project manager skills, preferably within the biomedical sector
Hello, my name is Petr. I graduated from Moscow Institute of Physics and Technology (20011, Russia) and got PhD in Applied Math and Computer Science at Inria (2015, France). I am specialized in developing and implementing algorithms to process large amount of data of various types. Particularly I have experience in machine learning and optimization techniques, linear algebra, statistical and math analysis. I am looking for a creative and interesting projects involving multidisciplinary fields and programming. My priority will always be to meet your needs and deadline. I prefer to communicate with the client to have clear understanding and vision of the project. Below, I list skills and experience: Scientific Programming: C++, python, Matlab OS: Linux, Mac OS, Windows Scientific Writing: https://scholar.google.ru/citations?user=xMTbJLcAAAAJ&hl=en
Physicist, statistics expert, and signal processing engineer providing robust algorithm based solutions for a wide range of business and product development areas. Focus of activity includes analysis, synthesis, artificial intelligence, neural networks, identification algorithms, statistical detection theory, and adaptive pattern recognition. Application areas include business model simulations, face recognition, voice recognition, sound artifact recognition, biomedical signature characterization (respiration, heart, fluid flow, periodicity, transfer functions); modality prediction, turbulence, second-order gradient analysis, equity forecasting, scheduling (NP and fuzzy logic), time series analysis; synthesis of adaptive scenarios, detection sub-systems, econometric modeling; physics based modalities, anomalous sensor detection, image processing, accelerometer, radar signal processing, demodulation, telemetry, neutron detection, radioactive isotope identification, sensor fusion, target tracking (Kalman, multi-hypothesis, unscented), automated data mining (Internet spider tool development), marketing statistics, genetic algorithms, neural networks, software development, business venture metrics generation, multi-tier HTML parsing, general data feature extraction. Develops prototype emulation of mathematical concept models to subsystem for developers. Expertise in decision theory, DSP algorithms, peak detectors, anomalous detection (acoustics and RF), demodulation signal processing, audio analysis, telemetry processing, pattern recognition, adaptive signal processing strategies, ballistic missile tracking (Kalman and multi-hypothesis), image processing clutter signal processing, K-means clustering, optical deconvolution, image segmentation, anti-jamming radar, interference cancellation communications signal processing, dye laser optics, explosive detection image processing, micro bolometer FPA image processing, CCD camera image stabilization, gamma/neutron nuclear detection, X-ray backscatter signal processing, multi-sensor overlap projection modeling, DF processing. Proficient in statistical simulation model development and rapid prototyping in high-level languages. Strong proposal writing skills including business, SBIR, and technical white paper development. Technology trade study experience (commercial product development). "The real essence of work is concentrated energy"
With my B.Sc. and M.S. in Statistics and with my 7 years’ experience in practical field of research and teaching, I’ve numerous experience of analyzing data and writing publication quality papers/thesis in various fields including technology, business, demography, psychology, medical science, social science, public health, economics etc. I’ve published several research articles in different journals and written several conference papers. Moreover, I've experience of supervising a number of undergraduate projects and graduate theses in different applied fields. These thesis works covered univariate to multivariate statistical analyses with statistical graphics. I have very strong theoretical and applied statistical knowledge with efficiency in statistical computing with different software such as SPSS, SAS, R, STATA, FORTRAN, MINITAB, EVIEWS, EXCEL etc. My core competency lies in conducting statistical analysis using different statistical softwares and writing academic thesis/articles for publication. I also have a very strong skill of independent programming in statistical programming languages. I am seeking opportunities to solve all your issues that requires statistics knowledge. I also have interest in teaching in the field of statistics.